Ford Motor Company

Engineer

• Develop and integrate ADAS algorithms in C++ for embedded systems
• Apply machine learning and computer vision techniques to design perception-focused ADAS solutions
• Conduct ADAS vehicle testing including data logging and validation
• Perform data processing and analysis to improve perception algorithms
• Adhere to coding standards while maintaining code quality
• Implement CI/CD pipelines for automation
• Utilize Git for collaborative development
• Develop test performance matrices and track algorithm accuracy
• Identify and resolve software defects
• Plan and track software development tasks in an agile environment

In-House Perception Algorithm Engineer

Full-stack Engineer

• Develop control algorithms using MATLAB/Simulink and embedded coder, or by using hand-code
• Create requirements and design verification plans for vehicle motion control functions
• Perform software functional validation (model-in-the-loop/software-in-the-loop), working closely with chassis controls analytical methods test engineers to prove out functions
• Collaborate with feature and system engineers to develop the SW functions to enable new experiences for our customers
• Calibrate and test features in prototype vehicles or on hardware-in-the-loop test stands
• Domestic Travel Required up to 10%.

Chassis Software Engineer

• Support the development and maintenance of embedded software build infrastructure for automotive control units.
• Design and implement scalable CI/CD pipelines to automate build, test, and deployment processes across virtual and hardware ECU platforms.
• Collaborate with development teams to integrate DevOps workflows and enable continuous integration of model based and hand coded software components.
• Debug and optimize embedded software build environments, ensuring reliability and performance across Linux and Windows platforms.
• Develop and maintain scripts and tools for automated testing, version control, and configuration management.
• Evaluate and integrate cloud-native technologies such as Docker, Kubernetes, and Jenkins to enhance build scalability and traceability.
• Contribute to the development of virtual ECU environments using hardware models to support L1-L4 simulation-based testing and validation.
• Analyze CI/CD build logs and test data to improve software quality.

Embedded Software Engineer – Product Engineer

Security Engineer

• Design, Develop and implement S/4 HANA Fiori Security roles for various functional areas like General Ledger ,Accounts Payable, Accounts Receivable, Asset Accounting.
• Support SAP Role administration including configuration of new authorization objects, Master/Derived Roles, Single and Composite roles
• Troubleshooting authorization issues by using STAUTHTRACE, STUSERTRACE, SU53 and ST01
• Implement/Support SAP GRC (Governance Risk & Compliance) Access Controls 12.0 including ARA, ARM, EAM and BRM
• Administration of SAP GRC configuration, rule sets, workflows and approvers for user provisioning, emergency access and access recertification
• Maintain GRC master data , running risk analysis, audit and compliance support activities
• Build and maintain MSMP Workflows and configuration of GRC notifications.
• Build ruleset, creating custom functions and risks and adjusting the existing rulesets according to the business needs.
• Plan and execute GRC Upgrade activities
• Setup and support Sync jobs(Repository, Auth, FF Log ,Action Usage)
• Troubleshoot day to day Access request related issues by analyzing audit logs.
• Work closely with Application security team members and support all security work
• Provide Production Support on a periodic 24x7 support with on-call responsibilities.

SAP Security Architect

ServiceNow

• Data Governance & Integrity: Enforce data standards, naming conventions, and relationship rules across all Configuration Items (CIs) to maintain high data quality.
• Discovery & Mapping: Oversee automated asset discovery tools (e.g., ServiceNow Discovery) and service mapping to ensure infrastructure components are accurately represented.
• Health Monitoring: Track CMDB health metrics—focusing on the "3 C's": Completeness, Correctness, and Compliance.
• Integration Management: Ensure seamless, reconciled data flows from third-party sources and authoritative systems into the CMDB using ETL, REST, and APIs.
• Audit & Compliance: Provide CMDB reporting and data lineage evidence to support internal and external risk and compliance audits.
• Stakeholder Collaboration: Partner with Incident, Problem, and Change Management teams to ensure that configuration changes are properly documented and evaluated.
• Platform Expertise: Hands-on experience with enterprise ITSM/ITOM platforms, particularly ServiceNow (including modules like CSDM and Discovery).
• Process Frameworks: Strong understanding of ITIL best practices (ITIL 4 Foundation or higher preferred).
• Data Management Skills: Experience handling large-scale data reconciliation, normalization, and identification rules.
• Analytical Thinking: Ability to translate complex IT infrastructure requirements into scalable, logical data models.
• Communication: Leadership and mentoring skills to train technical teams and educate stakeholders on configuration management processes.

Manager – ServiceNow CMDB, ITOM, ITAM

Engineering Manager

• Lead Engineering Execution: Manage and mentor pods of data and software engineers to design, build, and deploy domain-driven data products on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow).
• Platform Modernization: Drive critical infrastructure initiatives, including the migration to GCP 3.0, adoption of DataOps packages, and the decommissioning of legacy tech debt to ensure highly performant and cost-optimized cloud operations.
• Ecosystem Integration: Architect real-time and batch data pipelines to ingest fragmented data and serve unified profiles to downstream operational systems, specifically Salesforce (Sales/Service Cloud), Marketing Cloud, and Ford Credit billing systems.
• Engineering Craftsmanship: Enforce rigorous engineering standards, ensuring 100% of PRO 360 repositories maintain SonarQube "A" ratings for reliability, security, and maintainability, and championing CI/CD automation.
• Technical Leadership: Act as the Directly Responsible Individual (DRI) for technical deployments, collaborating with Product Managers and Product Anchors to translate business OKRs into scalable technical backlogs.
• AI Data Readiness: Architect and optimize data models to support high-priority machine learning initiatives ensuring training and inference pipelines are highly available and scalable.
• Agentic AI Enablement: Lead the data integration strategy for next-generation Agentic AI workflows (using Vertex AI, Gemini, and Agent Platforms), enabling autonomous lead generation, pipeline observability, and conversational AI dashboards.
• Feature Engineering & ML Ops: Collaborate closely with Data Scientists and AI Engineers to transition ML models from proof-of-concept to production, ensuring seamless integration into the PRO 360 ecosystem.
• Unstructured Data & RAG: Build pipelines to process and structure complex datasets (e.g., telematics, connected vehicle data, unstructured web leads) to feed into Large Language Models and Retrieval-Augmented Generation (RAG) frameworks.
• Data Contracts & Observability: Implement machine-readable data contracts (Schema, SLOs, and DQ rules) for top PRO 360 data products. Oversee automated data quality monitoring and anomaly detection using platform observability tools.
• Privacy & Compliance Controls: Architect and develop automated governance controls to map data assets to privacy classifications. Ensure strict adherence to GDPR and CCPA, including the automated management and suppression/deletion of consent data.
• Policy as Code: Translate business and regulatory policies into enforceable, automated standards within the CI/CD pipeline, eliminating manual configuration errors.
• Federated Data Sharing: Manage the governance of sharing PRO 360 data with internal pillars (FCSD, FPI, FMCC) and external partners (e.g., D&B, S&P) through secure, role-based, and attribute-based access controls.

Data Engineering Manager

Data Scientist

• Model Development & Analytics: Design, train, and evaluate machine learning models, including predictive, classification, and ensemble methods, and conduct exploratory data analysis to surface trends, anomalies, and decision-support signals
• AI Application & LLM Integration: Build and integrate LLM powered workflows for insight generation and decision support, blending structured business metrics with external signals through effective prompt engineering and harness in the agent
• Data Pipeline & Engineering: Design, build, and maintain scalable ETL and data pipelines across multi-source datasets to power analytics, reporting, and downstream applications
• Data Products & Visualization: Develop interactive analytics applications and dashboards (such as Dash/Power BI) that deliver real-time analytics, KPI monitoring, and actionable business insights
• Model Evaluation & Data Quality: Establish model evaluation frameworks grounded in statistical metrics and business KPIs, and safeguard data reliability through validation of completeness, consistency, and ongoing pipeline monitoring
• Collaboration & Delivery: Partner with data engineers, software engineers, and product owners to translate business needs into robust analytic deliverables, balancing technical rigor with speed to delivery

Yield Management Specialist – GTM, Data Scientist

QA Engineer

• Lead the design, planning, and execution of test methods and automation scripts for infotainment audio requirements verification purposes.
• Lead incidents triage (contributing to Risk assessment definition), performs root cause analysis, and Designs Preventive Actions.
• Use Test Management tools for test planning creation, execution, monitoring (proficient key metrics interpretation for Test Strategy definition), and reporting of Test Results.
• Perform testing of audio features in multi-ECU test setups or test vehicles.
• Use defect management tools for defect creation, and monitoring resolution.
• Proven expert with Automation tools & strategies, contributing to development of automated tests.
• Follow and promote code artisanship best practices, quality and security standards; and contributes to the improvement of them.
• Understand and apply industry Software Quality Assurance standards (ASPICE, ISTQB, ASAM, INCOSE, etc.)

Senior Software Tester

• Design, develop, and maintain scalable full stack applications including frontend, backend and database layers.
• Collaborate with cross functional teams to understand business requirements and translate them to technical solutions.
• Build and consume RESTful microservices using Java and Spring Boot.
• Develop modern, responsive front-end applications using React (with Redux) or Angular, HTML and CSS.
• Work with cloud-native architectures on GCP.
• Leverage GCP services such as Compute Engine, Cloud Run, Cloud SQL, Cloud storage, PUB-SUB, Application Monitoring (Log Analytics), Memory Store for Redis and Cloud Functions to build scalable and resilient applications.
• Implement and manage infrastructure using Terraform (Infrastructure as Code).
• Collaborate with cross-functional teams to define, design, and ship new features.
• TDD, BDD, regression and performance testing.
• Implement UI and end-to-end testing using frameworks like Selenium, Cypress or Playwright.
• Optimize application performance, including JVM tuning and profiling.
• Ensure code quality through best practices, testing, and reviews.
• Contribute to system architecture and technical decision-making.
• Work with team members to establish best practices to maximize efficiency and minimize risk.
• Interact and work closely with product managers to devise solutions and break them into incremental production-ready user stories.
• Execute API Load and Performance (L&P) on API/modules developed.
• Use DevOps tools such as Tekton, SonarQube, Checkmarx, Fossa, and GitHub to deploy, improve and manage software.

Senior Full Stack Developer

Robotics

• Lead a high-performing team of robotics engineers, software developers, and launch professionals delivering AMR/automation across multiple Ford manufacturing sites.
• Establish coding standards, software development best practices, and architecture guidelines for robotics platforms used within MP&L.
• Provide high-level technical oversight of autonomy software, ADAS-style sensor fusion pipelines, software frameworks, and computer vision integrations.
• Drive clarity and technical alignment between software teams, controls teams, IT, plant operations, and external vendors.
• Shape Ford’s long-term strategy for AMR autonomy stacks- including sensor fusion, perception, mapping, localization, motion planning, and safety systems.
• Drive standardization of Ford’s AMR software frameworks across plants to reduce cost, improve reliability, and create enterprise-wide scalability.
• Lead authoring and negotiation of software-focused SOWs covering autonomy behaviors, fleet algorithms, sensor calibration requirements, MCU/SoC/MPU integration, and cybersecurity standards.
• Translate business objectives and plant needs into detailed technical deliverables for internal teams and external suppliers—including coding milestones, functional safety requirements, and software validation criteria.
• Oversee architecture, debugging, simulation, digital twin validation, and model-in-the-loop / software-in-the-loop testing environments prior to deployment.
• Lead all software and controls readiness activities for AMR deployments during vehicle launches.
• Ensure perception models are tuned, localization maps validated, autonomy parameters calibrated, and fleet software integration is stable prior to go-live.
• Resolve high-complexity plant issues related to software behavior, routing algorithms, traffic orchestration, perception stack failures, and network integration.
• Guide integration of SoC/MPU/MCU controllers, safety PLCs, fieldbuses, and robotics sensors.
• Ensure motion controllers use appropriate constraint-based optimization, MPC, and control law tuning.
• Oversee Gazebo, Isaac Sim, ROS simulation environments, digital twin development, and automated test harnesses.
• Approve model-based design artifacts and software validation reports.
• Manage multi-million-dollar budgets for robotics and software-driven automation projects.
• Conduct financial reviews, cost optimization, and ROI analyses related to autonomy and software-heavy system deployments.
• Interface with MP&L, MFE, IT, Manufacturing, Purchasing, Finance, Cybersecurity, and external robotics suppliers.

Autonomous Robotics Launch Manager

Software Engineer

• K3s Cluster Management: Design, deploy, configure, and manage K3s clusters primarily on-prem but also on Cloud as needed. This includes managing single-node edge clusters to multi-node high-availability deployments.
• Infrastructure as Code & Automation: Implement and maintain GitOps workflows using tools like ArgoCD and Flux for declarative application management and infrastructure automation. Define, validate, and manage Kubernetes manifests, Helm charts, and Custom Resource Definitions (CRDs).
• Application Deployment & Optimization: Develop and maintain software for edge devices, ensuring seamless integration with cloud services. Optimize K3s performance on constrained hardware and in air-gapped systems, ensuring efficient resource utilization.
• Operations & Reliability: Monitor and maintain cluster health, including networking, storage, and node availability. Develop and implement self-healing, scaling, and failover strategies for hybrid deployments. Establish and maintain robust backup/restore, upgrade, and security hardening processes.
• Networking & Security: Deep understanding and configuration of Kubernetes Container Network Interface (CNI) plugins and network policy management. Troubleshoot container runtimes, DNS resolution, and overlay networking issues. Enforce network policies, RBAC, secrets management, and container security best practices.
• Collaboration & Documentation: Work closely with DevOps, SRE, platform, and hardware teams to align K3s cluster deployments with overall platform goals. Document cluster provisioning, deployment flows, operational runbooks, and Disaster Recovery procedures. Train internal teams on K3s management and declarative deployment practices.
• Innovation: Stay current with advancements in K3s, Kubernetes, and edge computing technologies, evaluating and recommending new tools, technologies, and processes to enhance our platform.

Kubernetes Developer/Engineer

• To execute the SWCM and SRP processes, ensuring IVS sections and Jira tickets are updated for all software releases.
• To create software structures in IVS as specified by the assigned commodity’s software delivery for various ECUs within the In-Vehicle Software database.
• To manage ECU placeholders within the correct network, following vehicle network specifications.
• To transfer completed software parts to the development packages as required.
• To run IVS database checkers and resolve any non-compliance items.
• To verify that all ECU software loaded into production vehicles is present and accurate within the IVS database.
• To report software delivery status for assigned commodities across all vehicle programs under development.
• To support the resolution of field issues related to software malfunctions or updates by creating Service Actions and software release corrections in the IVS database for assigned ECUs.
• To maintain updated IVS sections within the Spot Check, Service Actions, and DSP Concerns health charts for all assigned items.

IVS Engineer

Sales

• Provide comprehensive support for the development and implementation of GSA contracts, including reviewing and communicating vehicle specifications and model year changes relevant to contract requirements.
• Prepare spreadsheets for assigned line items and accurately enter specifications and pricing into federal government systems.
• Create vehicle abstracts within the Federal Order Management System (FOMS).
• Support the development and maintenance of law enforcement option packages and other contract requirements as outlined by GSA.
• Process federal government orders and facilitate their review and release within the CONCEPS system.
• Process and track "field diverts" for mis-shipped or mis-delivered vehicles.
• Serve as the primary IT subject matter expert for the federal team.
• Lead projects focused on integrating IT processes and reporting functionalities.
• Recommend and advocate for IT enhancements within the Federal Order Management System (FOMS).
• Support GSA reporting requirements.
• Achieve calendar year sales objectives and model year market share objectives within the federal government industry.
• Respond to internal and external customer inquiries (phone and email) within 48 hours.
• Support customer meetings and events, such as Advance Product Meetings, GSA meetings, federal government conferences, and First Article Tests.
• Attend and actively participate in team meetings.
• Provide support for the development of the annual federal government sales brochure.
• Help identify process improvements and best practices for the Federal Government Team.
• Develop and maintain professional working relationships with colleagues and external partners.
• Perform special projects and assignments as directed.

Federal Government Sales Analyst

• The program scheduler will support Final Assembly Engineering by leading the development, maintenance, and governance of multiple integrated master schedules.
• Ensure on-time delivery aligned with strategic program objectives.
• Provide early visibility into schedule risks and variances.
• Enable data-driven decision making through accurate reporting and scenario analysis.
• Work collaboratively across program teams and leadership to optimize scheduling performance and cross-functional resource utilization.

Advanced Planning Engineer

Business Analyst

• Provide Technical Project Support: Support the execution and oversight of complex, cross-functional transformation initiatives by providing dedicated project management expertise to various functional areas (e.g., Quality, Engineering, PD, or Manufacturing) aimed at optimizing global Industrial System operations.
• Execution Gap Analysis: Conduct deep-dive analysis of project data to identify milestone execution gaps, emerging issues, and risks to on-time delivery, ensuring the transformation management organization team has a clear view of project health.
• Collaborate on Execution: Collaborate with diverse teams across the Industrial System to support the implementation of integrated solutions and ensure cross-functional alignment with project milestones.
• KPI Maintenance & Monitoring: Maintain and monitor key performance indicators (KPIs) related to project efficiency and health, ensuring high-quality data is available for regular updates to executive leadership.
• Utilize the TMO Framework: Utilize the Transformation Project Management Framework (TPMF) and digital tools to ensure data integrity, predictive tracking, and proactive project decision-making.
• Support Disciplined Execution: Support a culture of continuous improvement in project delivery by following standardized methodologies and identifying innovative solutions to tactical project-level challenges.
• Navigate Ambiguity with Resilience: Demonstrate exceptional resilience and adaptability, effectively navigating ambiguous transformation requirements, managing competing priorities, and responding strategically to evolving business needs.
• Rigorous Risk & Schedule Management: Create and maintain robust R.A.I.D. logs and baseline schedules for assigned programs, ensuring project health is monitored and impediments are escalated for resolution.
• Serve as a Technical PM Resource: Serve as a technical project management resource for the TMO, supporting stakeholders in the consistent application of standardized framework requirements and transformational changes.